About BioBox
The operating layer between your data and your decisions.
BioBox captures how your best scientists reason, connects it to your proprietary multi-modal data, and makes every decision repeatable, defensible, and traceable.
When scientists can encode their judgment, AI can enter the workflows that matter.
The decisions that move drug discovery forward run on expert judgment: the hard-won reasoning about which target, which indication, which path is worth pursuing. BioBox gives scientists a way to encode that judgment and make it legible to AI agents.
Once judgment is legible, agents can reason through those decisions alongside your scientists, earning a place in the mission-critical workflows where real scientific progress is made, and moving the needle on the problems that matter most.
What we believe
Reasoning over retrieval
Surfacing information is easy. We encode how your experts weigh it, so the system reaches conclusions the way your best people would.
Provenance by default
Every output traces back to the data and logic that produced it. No black boxes, and every decision can be defended in any room.
Your frameworks, not ours
We don't impose a generic model of biology. BioBox runs on the frameworks your scientists have spent years refining.
Built for the decision
Dashboards inform; they don't decide. We optimize for the call that actually gets made, and holds up to scrutiny.
The infrastructure layer for decision-grade AI.
Three layers turn raw, multi-modal evidence into decisions you can stand behind: a shared foundation your scientists, models, and agents all reason from.
- L1
Multi-modal data foundation
Genomics, proteomics, single-cell, clinical, and literature, unified into one governed substrate, so every decision draws on the same evidence.
- L2
Graph reasoning
A knowledge graph connects that foundation through your ontology, and the reasoning layer traverses it the way your experts would, turning connections into conclusions.
- L3
Decision-ready interfaces
Outputs built for the call that actually gets made: ranked, explained, and traceable to their evidence, so humans and AI agents can act with confidence.
Relentless truth-seekers. Our battle is with entropy.
We've spent years embedded with the best R&D teams across the drug discovery life-cycle, getting to the problems that actually make their work hard, not the ones that make for a clean demo.
We didn't arrive with a model in search of a problem. We come from inside this industry, and we've stayed close to the science because it rewards rigor and punishes hype. BioBox is our stand against entropy: the quiet erosion of reasoning, context, and judgment that lets hard-won knowledge slip away.
The people building BioBox
Christopher Li
CEO
Christopher leads the mission to transform drug discovery through reasoning models and evolutionary ontologies. With a background spanning AI, knowledge graphs, and biopharma innovation, he's passionate about building tools that empower scientists to scale their thinking and accelerate breakthroughs.
Hamza Farooq
CTO
Hamza brings deep expertise at the intersection of bioinformatics and AI. A national-level bioinformatics instructor and author of 30+ high-impact publications, he has spent his career advancing computational methods that bridge biology and data science. At BioBox, Hamza leads the technical vision, ensuring our platform is both scientifically rigorous and built to scale with the future of drug discovery.
Julian Mazzitelli
CIO
Julian is a seasoned infosec and cybersecurity expert with a track record of building resilient systems at scale. He has designed and managed national-level distributed computing infrastructure, bringing unmatched expertise in secure, high-performance environments. At BioBox, Julian ensures our platform is enterprise-grade, secure, and trusted by the most data-sensitive organizations in drug discovery.
Lauren Phillips
CPO
Lauren is a translational scientist with a background in therapeutics and a proven track record of bridging biology with technology. A distinguished graduate of The Product Faculty, she is recognized for her product development expertise in building tech platforms that accelerate biological discovery. At BioBox, Lauren shapes how our science translates into impactful, user-centered tools for drug discovery teams.
Advisors
Operators and scientists who've built and scaled what we're building toward.
Daniele Merico
Chief Data Officer, Tahoe Therapeutics
Chris Dwan
Former SVP Systems, Sema4
Vincent Alessi
3x Founder in AI × Bio
Partners & investors
Backed by partners who share our conviction about how this industry should work.
See BioBox on your hardest decision
A working session with our team, mapped to one of your active discovery programs, from target evaluation through asset prioritization.
Book a briefing